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A SEIR model to estimate the effect of pharmaceutical and non-pharmaceutical interventions on the spread of COVID-19

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Prof Ramanathan Srinivasan
Indian Institute of Technology (IIT)

About

A SEIR model, with an easy-to-use software interface, will be developed. It will account for age distribution, the effect of treatment and the difference in propagation by symptomatic and asymptomatic individuals and use a range of parameters to obtain the average and upper and lower limits of estimated values.

Patents

NA

Achievements

NA

Outcome / Output

A software interface with SEIR model, incorporating age distribution, pharmaceutical (medical treatment) and non-pharmaceutical (lockdown, social distancing and so on) interventions, and symptomatic/asymptomatic modes of transmission was created. A working version of the software, created in May 2021, is available on the link, https://www.dropbox.com/s/i0huy1gu6fgremk/CTM_1_8_Full.exe?dl=0. Existing models use the basic SEIR model or its variants but cannot handle the effect of both pharmaceutical (like treatment) and non-pharmaceutical interventions (like lockdown) together. Similarly, the spread of COVID-19 by symptomatic and asymptomatic patients should be handled separately. The proposed model accounts for these variations as well. Data over a period of time is available, and this can help in narrowing down the parameters such as basic reproduction number under lockdown and unlock phases. The software utility can also be used to predict what will be the loss if lockdown was not implemented or if treatment was not provided.

Publications

NA
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
Focus Area
Mathematical modelling for COVID-19
Start Year
2020
Sanction Amount
₹ NA
Status
Ongoing
Contact
srinivar@iitm.ac.in
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
NA
No. of Patents
Filed : 00
Grant : 00
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